---
tags:
- generated_from_trainer
model-index:
- name: full-lstm-4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# full-lstm-4

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9704

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 3052726

### Training results

| Training Loss | Epoch | Step    | Validation Loss |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.8004        | 0.03  | 76319   | 4.7641          |
| 4.5121        | 0.03  | 152638  | 4.4806          |
| 4.3684        | 1.03  | 228957  | 4.3448          |
| 4.2765        | 0.03  | 305276  | 4.2616          |
| 4.2121        | 1.03  | 381595  | 4.2050          |
| 4.1608        | 0.03  | 457914  | 4.1635          |
| 4.1255        | 1.03  | 534233  | 4.1324          |
| 4.0959        | 0.03  | 610552  | 4.1078          |
| 4.0666        | 0.03  | 686871  | 4.0883          |
| 4.0436        | 1.03  | 763190  | 4.0722          |
| 4.0239        | 0.03  | 839509  | 4.0580          |
| 4.0089        | 1.03  | 915828  | 4.0473          |
| 3.9888        | 0.03  | 992148  | 4.0371          |
| 3.9758        | 1.03  | 1068468 | 4.0294          |
| 3.9699        | 0.03  | 1144788 | 4.0218          |
| 3.9587        | 1.03  | 1221108 | 4.0161          |
| 3.9389        | 0.03  | 1297428 | 4.0109          |
| 3.931         | 1.03  | 1373748 | 4.0059          |
| 3.9193        | 0.03  | 1450068 | 4.0013          |
| 3.9126        | 1.03  | 1526388 | 3.9978          |
| 3.9121        | 0.03  | 1602708 | 3.9949          |
| 3.9067        | 1.03  | 1679028 | 3.9922          |
| 3.9079        | 0.03  | 1755348 | 3.9896          |
| 3.904         | 1.03  | 1831668 | 3.9874          |
| 3.897         | 0.03  | 1907988 | 3.9856          |
| 3.8901        | 1.03  | 1984308 | 3.9840          |
| 3.8877        | 0.03  | 2060628 | 3.9821          |
| 3.8779        | 1.03  | 2136948 | 3.9806          |
| 3.8775        | 0.03  | 2213268 | 3.9794          |
| 3.8691        | 0.03  | 2289588 | 3.9782          |
| 3.8627        | 0.03  | 2365908 | 3.9771          |
| 3.8616        | 1.03  | 2442228 | 3.9761          |
| 3.8491        | 0.03  | 2518548 | 3.9749          |
| 3.848         | 1.03  | 2594868 | 3.9738          |
| 3.8413        | 0.03  | 2671188 | 3.9730          |
| 3.842         | 1.03  | 2747508 | 3.9721          |
| 3.8472        | 0.03  | 2823828 | 3.9715          |
| 3.8438        | 1.03  | 2900148 | 3.9710          |
| 3.85          | 0.03  | 2976468 | 3.9706          |
| 3.8505        | 0.02  | 3052726 | 3.9704          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3